WELCOME USING DOMO TO BUILD A MODERN PLATFORM Madison Logic 3 - - PowerPoint PPT Presentation

WELCOME

USING DOMO TO BUILD A MODERN PLATFORM

Madison Logic

3

USING DOMO TO BUILD A MODERN PLATFORM

Ajay Sathyanath

CTO

Madison Logic

Akhil Patlolla

Big Data Engineer

Madison Logic

4

INTRODUCTION TO MADISON LOGIC

• B2B Multi-Channel Account Based Marketing Technology

Platform

• Empower Marketers to Identify, Prioritize and Engage Top

Accounts

• Recent Key Launches:
• ML Data Cloud
• Journey Acceleration™
• LinkedIn™ Integration
• ML Platform™

5

AGENDA

6

Problems in Solutioning A Modern Platform Development Requirements Tool Selection Details of Embedding Strategies How We Built the ML Platform Demo Best Practices Questions

PROBLEM: TWO DISPARATE STRATEGIES

7

Require One Tool to Address Both

• Democratize Analytics and

Enable Self Serve

• Ease of Use and Low Learning

Curve

• Speed and Connectivity to

Varied Databases

01

Power Organization’s BI Requirements:

• Provide Actionable Insights on

Platform

• Decrease Development Time
• Maintain Metrics Integrity and

Reduce Copies

02

Build a Modern Client Facing Platform:

PLATFORM DEVELOPMENT REQUIREMENTS

8

Ability and Ease of Embedding

01 02 03 04 05 06

Ability to Appear Native Passing Filters to Preload Data Chart Customization Flexibility in Embedding Dashboards / Charts Cross Chart Interaction

TOOL SELECTION METHODOLOGY

9

Mobile Friendly Easy Chart Building Cross Chart Interaction Coolness Factor Connection to Live DBs Speed Embedding Stability

Factors Scoring

EMBED STRATEGIES

10

Embed Page and Stories

• External components are not supported
• Does not look native

Pros:

• Cross card interactions within the embedded

view

• Better visual customizations compared

to cards

• Ideal to use for single page application

Caveats:

Embed Cards

Pros:

• Supports adding external components
• Can use global filters
• Parameterized filtering available
• No Cross-Card Interaction
• Unable to carry over dashboard properties

Caveats:

EMBED STRATEGIES CONTD.

11

Domo Phoenix JS

• Development pace slower than pages and cards
• Increases application maintenance

Pros:

• Offload computation to Domo
• Cross card interaction
• Can make custom charts available on dashboard
• App looks native

Caveats:

• Complex to build and maintain
• Cross chart interaction requires coding
• Increased development time

Caveats:

Native Graphing libraries

Highcharts / D3js

• Chart customization
• Apps looks native
• Well documented
• Modularized open source code available

Pros:

SOLUTIONING THE ML PLATFORM

12

• Combination of Proprietary and Domo Schedulers to Move Data
• Node.js Back End
• Embed Charts with Parameterized Filters, and Phoenix Components
• Port Communication via PostMessage to Enable Chart Interaction
• Okta Authentication and Domo PDP Access Control
• Angular 8 Framework
• Combination of Domo and Federated Datasets
• Data Modeling in Snowflake

ML Platform™ Demo

ML PLATFORM™ DEMO

14

ML PLATFORM™ DEMO CONTD.

15

ML PLATFORM™ DEMO CONTD.

16

BEST PRACTICES

17

Use SSO to Authenticate and PDP for Access Control

1

Create Embed Page Dashboard

2

Use Domo CLI to Create Backups

3

Use Live Queries for Very Large Volume Datasets

4

Model Data in Warehouse before Ingesting in Domo

5

Use Parameterized Filtering to Preload Pages/Cards for Improved Performance

6

CONCLUSIONS

18

Madison Logic Leveraged Domo to Release ML Platform™ in Record Time Domo Embed is Powerful and Easy to Use Design & Speed is Bound by the Embed Strategy

THANK YOU